Portraits of breast cancer progression. - Gul S. Dalgin; Gabriela Alexe; Daniel Scanfeld; Pablo Tamayo; Jill P. Mesirov; Shridar Ganesan; Charles DeLisi; Gyan Bhanot (BMC Bioinform., 2007)

Computer-assisted assessment of the Human Epidermal Growth Factor Receptor 2 immunohistochemical assay in imaged histologic sections using a membrane isolation algorithm and quantitative analysis of positive controls. - Bonnie Hall; Monica Ianosi-Irimie; Parisa Javidian; Wenjin Chen; Shridar Ganesan; David J. Foran (BMC Medical Imaging, 2008)

Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology. - Hussain Fatakdawala; Ajay Basavanhally; Jun Xu 005; Gyan Bhanot; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (BIBE, 2009)

A Predictor for Survival in Intermediate Grade Clear Cell Renal Cell Carcinoma. - Anupama Reddy; Angela Rose Brannon; Michael Seiler; Joseph Irgon; Börje Ljungberg; Hongjuan Zhao; James D. Brooks; Shridar Ganesan; W. Kimryn Rathmell; Gyan Bhanot (BIOCOMP, 2009)

Segmentation and Classification of Triple Negative Breast Cancers Using DCE-MRI. - Shannon Agner; Jun Xu 005; Hussain Fatakdawala; Shridar Ganesan; Anant Madabhushi; Sarah Englander; Mark Rosen; Kathleen Thomas; Mitchell D. Schnall; Michael D. Feldman; John Tomaszewski 001 (ISBI, 2009)

Computer-Aided Prognosis of ER+ Breast Cancer Histopathology and Correlating Survival Outcome with Oncotype DX Assay. - Ajay Basavanhally; Jun Xu 005; Shridar Ganesan; Anant Madabhushi (ISBI, 2009)

A boosted distance metric: application to content based image retrieval and classification of digitized histopathology. - Jay Naik; Scott Doyle; Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2009)

Identifying mRNA targets of microRNA dysregulated in cancer: with application to clear cell Renal Cell Carcinoma. - Huiqing Liu; Angela Rose Brannon; Anupama Reddy; Gabriela Alexe; Michael Seiler; Alexandra Arreola; Jay H. Oza; Ming Yao; David Juan; Louis S. Liou; Shridar Ganesan; Arnold J. Levine; et al. (BMC Syst. Biol., 2010)

Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology. - Ajay Basavanhally; Shridar Ganesan; Shannon Agner; James Monaco; Michael D. Feldman; John Tomaszewski 001; Gyan Bhanot; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2010)

A boosted classifier for integrating multiple fields of view: Breast cancer grading in histopathology. - Ajay Basavanhally; Shridar Ganesan; Natalie Shih; Carolyn Mies; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (ISBI, 2011)

Incorporating domain knowledge for tubule detection in breast histopathology using O'Callaghan neighborhoods. - Ajay Basavanhally; Elaine Yu; Jun Xu 005; Shridar Ganesan; Michael D. Feldman; John Tomaszewski 001; Anant Madabhushi (Computer-Aided Diagnosis, 2011)

Multi-Field-of-View Framework for Distinguishing Tumor Grade in ER+ Breast Cancer From Entire Histopathology Slides. - Ajay Basavanhally; Shridar Ganesan; Michael D. Feldman; Natalie Shih; Carolyn Mies; John Tomaszewski 001; Anant Madabhushi (IEEE Trans. Biomed. Eng., 2013)

Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. - Angel Cruz-Roa; Ajay Basavanhally; Fabio A. González 001; Hannah Gilmore; Michael D. Feldman; Shridar Ganesan; Natalie Shih; John Tomaszewski 001; Anant Madabhushi (Digital Pathology, 2014)

Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis. - Jun Xu 005; Lei Xiang; Guanhao Wang; Shridar Ganesan; Michael D. Feldman; Natalie N. C. Shih; Hannah Gilmore; Anant Madabhushi (Comput. Medical Imaging Graph., 2015)

All-FIT: allele-frequency-based imputation of tumor purity from high-depth sequencing data. - Jui Wan Loh; Caitlin Guccione; Frances Di Clemente; Gregory M. Riedlinger; Shridar Ganesan; Hossein Khiabanian (Bioinform., 2020)